• Assist in collecting, cleaning, and analyzing large datasets to extract meaningful insights.
• Support the development of data models, visualizations, and dashboards to aid decision-making processes.
• Collaborate with cross-functional teams to understand business requirements and contribute to data-driven solutions.
• Contribute to the enhancement of data quality and integrity through data validation and verification processes.
• Participate in ad-hoc data analysis projects and present findings to stakeholders.

Qualifications

• Pursuing a degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
• Familiarity with data analysis tools and programming languages such as Python, R, SQL, or others.
• Strong analytical and problem-solving skills with a passion for working with data.
• Ability to communicate findings effectively and work collaboratively in a team environment.
• Eagerness to learn and adapt to new technologies and analytical methods.